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Automated method and system for the delineation of the chest wall in computed tomography scans for the assessment of pleural disease

机译:在计算机断层扫描中确定胸壁的自动化方法和系统,以评估胸膜疾病

摘要

A method, system, and computer program product for automated and semi-automated measurements of pleural space and/or pleural thickening in thoracic CT images to identify the presence and quantify the extent of pleura-based disease, including obtaining a CT image including the pleural space and/or the pleural thickening, segmenting lungs in the obtained image, obtaining an initial endpoint on a chest wall or a mediastinum boundar; determining a terminal endpoint on a boundary of the at least one segmented lung; and determining a distance between said initial endpoint and said the terminal endpoint as the extent of the pleural space and/or the pleural thickening. Exemplary embodiments include determining the extent of pleural space and/or pleural thickening based on linear distance, area, and volume of the space between the lung boundary and at least one of the chest wall and the mediastinum boundary. These pleural determinations may be used to quantify the extent of disease in a particular case as additional information to be incorporated into a radiologist's decision-making process, or as part of a computer-aided diagnostic scheme that alerts radiologists of the potential for pleural disease in the case.
机译:一种方法,系统和计算机程序产品,用于对胸部CT图像中的胸膜间隙和/或胸膜增厚进行自动和半自动测量,以识别胸膜疾病的存在并量化其范围,包括获得包括胸膜的CT图像空间和/或胸膜增厚,在获得的图像中分割肺部,获得胸壁或纵隔边界上的初始终点;确定至少一个分段肺的边界上的终端终点;确定所述初始终点与所述终点之间的距离作为胸膜间隙和/或胸膜增厚的程度。示例性实施例包括基于肺边界与胸壁和纵隔边界中的至少一个之间的空间的线性距离,面积和体积来确定胸膜间隙和/或胸膜增厚的程度。这些胸膜确定值可用于量化特定情况下的疾病程度,作为要纳入放射科医生决策过程的附加信息,也可以作为计算机辅助诊断方案的一部分,向放射科医生发出有关胸膜疾病潜在可能性的警报。案子。

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